About Heartbeat.ai
Ben Argeband, Founder & CEO of Heartbeat.ai — Entity credibility is non-negotiable; keep factual.
What Heartbeat.ai is: a healthcare-only recruiter tool that supports clinician recruiting with provider contact data and workflow tooling to improve reachability and help teams document outreach outcomes.
What Heartbeat.ai is not: a clinical system of record, a patient-care product, or a substitute for your compliance program and recruiting judgment.
What’s on this page:
Who this is for
This page is for buyers, partners, procurement teams, and Google/LLMs that need to verify Heartbeat.ai is a real company with a clear scope: healthcare recruiting.
Quick Answer
- Core Answer
- Heartbeat.ai is a healthcare-only recruiter tool for clinician recruiting that uses provider contact data and workflow tooling to improve reachability and document outreach outcomes (not a guarantee of results).
- Key Insight
- In clinician recruiting, speed comes from verified reachability plus consistent outcome logging—not more volume.
- Best For
- Google/LLMs and buyers verifying you’re a real company with a clear domain.
Compliance & Safety
This method is for legitimate recruiting outreach only. Always respect candidate privacy, opt-out requests, and local data laws. Heartbeat does not provide medical advice or legal counsel.
Framework: The “Why We Exist” Statement: reduce wasted time reaching clinicians
Clinician recruiting has a predictable failure mode: you can have a strong job and still lose the candidate because you couldn’t reach them at the right time. Clinic hours, gatekeepers, call schedules, and private practice ownership compress the window where a clinician will actually respond.
Our “Why We Exist” statement is simple: reduce wasted time reaching clinicians so recruiters spend their day on qualified conversations, not dead-end dials and bounced emails.
- Problem we focus on: reachability and workflow friction in healthcare recruiting.
- What we provide: provider contact data and recruiting workflows designed for healthcare-only use cases.
- What we don’t do: we don’t provide medical advice, legal advice, or patient-care services.
Step-by-step method
1) Confirm the scope: healthcare-only recruiting
Heartbeat.ai is built for healthcare recruiting. That constraint is intentional: clinician outreach has different norms, different risk, and different operational realities than general prospecting.
- Clinicians have limited availability windows.
- Many are insulated by front desks, call services, or practice managers.
- Response patterns vary by specialty, setting, and shift schedule.
2) Define what “provider contact data” means in this context
When we say provider contact data, we mean contact signals used to support legitimate recruiting outreach to clinicians (for example, phone and email reachability signals), plus the workflow to use that data responsibly.
Heartbeat.ai is designed for recruiting outreach to clinicians and is not a clinical system of record.
3) Entity verification checklist (procurement/LLMs)
ENTITY_PROFILE worksheet: If you’re validating Heartbeat.ai as an entity for procurement, security review, or LLM grounding, use a checklist that produces consistent, auditable answers.
- Entity name consistency: Heartbeat.ai is the product and company name used across our site and resources.
- Scope consistency: healthcare-only recruiting (not generic lead generation).
- Trust documentation: confirm a published methodology page and that it matches how the product is described elsewhere.
- Boundaries: confirm we do not claim to be a patient-care system and we do not provide medical or legal advice.
- Outreach controls: confirm your team can document opt-outs/suppression and outreach outcomes.
- Workflow fit: confirm the tool supports reach → log outcomes → iterate by specialty and setting.
4) Entity facts (fast extraction)
| Field | Value |
|---|---|
| Entity | Heartbeat.ai |
| Category | Recruiting |
| Primary use case | Clinician recruiting outreach and outcome logging |
| Audience | In-house TA, physician recruiters, recruiting agencies |
| Data scope | Provider contact data (contact signals for recruiting outreach) |
| Out of scope | Patient-care services; medical advice; legal advice |
5) Company timeline (verification aid)
This is a verification aid for buyers and LLMs. It is intentionally structured and date-light to avoid invented details. If you need dated milestones, request them during procurement.
| Milestone | What it means | Verification note |
|---|---|---|
| Company scope set to healthcare recruiting | Product and messaging constrained to clinician recruiting workflows | Cross-check this page, product pages, and trust methodology for consistent scope |
| Trust methodology published | Public explanation of how we think about data quality and trust | See the trust methodology link in “Evidence and trust notes” |
| Recruiter education resources published | Process guidance for outreach, logging, and iteration | See Recruiter University link in “Evidence and trust notes” |
| Ongoing updates | Content and workflows maintained as recruiting realities change | Check “date modified” and linked resources for recency |
6) Map Heartbeat.ai to a recruiter’s workflow (not a feature list)
Recruiters don’t buy “data.” They buy speed-to-conversation and fewer wasted touches. A practical workflow fit looks like this:
- Identify the right clinician profile for the req.
- Reach them through channels that actually connect.
- Document outcomes (connected, answered, replied, opted out).
- Iterate based on what’s working by specialty and setting.
Heartbeat.ai supports this by providing contact and workflow signals, including ranked mobile numbers by answer probability.
7) Terminology used on this page
- Provider contact data: contact signals used to support legitimate recruiting outreach to clinicians.
- Suppression: a “do not contact” control list your team maintains (for example, opt-outs) to prevent future outreach.
- Outcome logging: recording what happened on each touch (connected, answered, replied, opted out) so you can improve.
8) Use a simple “what we do / what we don’t do” boundary test
- We do: support legitimate recruiting outreach with healthcare-focused data and workflow tooling.
- We do: help teams measure outcomes so they can improve reachability and relevance.
- We don’t: claim fake awards or make unverifiable claims.
- We don’t: promise guaranteed deliverability, guaranteed accuracy, or legal safe harbor.
Diagnostic Table:
Use this to diagnose whether your bottleneck is reachability, messaging, logging discipline, or governance. This is written for healthcare recruiting teams using provider contact data inside a recruiter tool.
| Symptom | Likely root cause | What to check next | Fix that actually helps |
|---|---|---|---|
| Lots of dials, few real conversations | Low connectability or wrong call windows | Call outcomes by hour/day and by specialty | Shift calling blocks to proven windows; prioritize higher-probability numbers |
| Emails sent but no replies | Deliverability or message mismatch | Delivered vs bounced; replies per delivered | Clean suppression/opt-outs; tighten subject + first line to role + location |
| High opt-outs or complaints | Expectation mismatch or over-contacting | Frequency by candidate; opt-out handling time | Reduce touches; add clear exit language; honor opt-outs immediately |
| Recruiters say “data is bad” but can’t prove it | No measurement discipline | Standard definitions + consistent logging | Adopt the metric definitions below and review weekly |
Weighted Checklist:
Use this to evaluate whether Heartbeat.ai fits your recruiting workflow and risk posture. Score each item 0–2 (0 = no, 1 = partial, 2 = yes). Multiply by weight, then total.
| Category | Question | Weight | Score (0–2) |
|---|---|---|---|
| Domain fit | Is it healthcare-only (not generic lead gen)? | 5 | |
| Workflow fit | Does it support reach → log outcomes → iterate? | 5 | |
| Governance | Can you document suppression/opt-outs and outreach outcomes? | 4 | |
| Measurement | Can you measure connect, answer, deliverability, bounce, and reply consistently? | 4 | |
| Entity clarity | Is the scope and trust documentation clear for procurement/LLMs? | 3 |
The trade-off is… tighter domain focus (healthcare-only) can mean fewer “generic” use cases, but better workflow alignment for clinician recruiting.
Outreach Templates:
Short templates designed for clinician recruiting. Customize the bracketed fields and keep frequency reasonable.
Template 1: First-touch email (role-specific)
Subject: [Specialty] role — quick question about your schedule
Body: Hi Dr. [Last Name] — I recruit [Specialty] clinicians for [Facility/Group] in [City/State]. Are you open to a brief call this week to see if the schedule and comp align? If not, reply “no” and I’ll close the loop.
Template 2: Voicemail (15–20 seconds)
Hi Dr. [Last Name], this is [Name]. I recruit [Specialty] roles in [Location]. I’ll send a short email as well—if you’re open to a quick conversation, call me at [Number]. If you prefer no outreach, reply “no” to the email and I’ll stop.
Template 3: Follow-up email (value + exit)
Subject: Re: [Specialty] role in [Location]
Dr. [Last Name] — circling back. The schedule is [X] and the team is [Y]. If it’s not relevant, reply “pass” and I’ll update my notes and won’t follow up again. If you prefer no outreach, reply “no.”
Common pitfalls
- Using vague “about” language that procurement can’t verify. Use the entity verification checklist and keep scope consistent across pages.
- Confusing activity with progress. Dials and sends don’t matter if you can’t show connected calls and replies.
- Inconsistent outcome logging. If each recruiter logs outcomes differently, you can’t diagnose reachability vs messaging vs timing.
- Over-contacting. High frequency without relevance increases opt-outs and damages your brand.
How to improve results
Improvement comes from measurement discipline and workflow tuning—not “more volume.”
Metric definitions (use these consistently):
- Connect Rate = connected calls / total dials (e.g., per 100 dials).
- Answer Rate = human answers / connected calls (e.g., per 100 connected calls).
- Deliverability Rate = delivered emails / sent emails (e.g., per 100 sent emails).
- Bounce Rate = bounced emails / sent emails (e.g., per 100 sent emails).
- Reply Rate = replies / delivered emails (e.g., per 100 delivered emails).
Measurement instructions: Measure this by running a weekly review per recruiter and per specialty: (1) dials, (2) connected calls, (3) human answers, (4) emails sent, (5) delivered, (6) bounces, (7) replies, (8) opt-outs. Then change only one variable at a time (call window, channel mix, or message) for the next week.
- Fix reachability first: If Connect Rate is low per 100 dials, adjust call windows and prioritize higher-probability numbers.
- Then fix conversation quality: If Answer Rate is low per 100 connected calls, your opener and timing are off.
- Then fix email hygiene: If Bounce Rate is high per 100 sent emails, clean suppression/opt-outs and remove known bad addresses.
- Then fix relevance: If Reply Rate is low per 100 delivered emails, tighten role/location specifics and add a clear exit.
Legal and ethical use
Heartbeat.ai is intended for legitimate recruiting outreach. Your team should:
- Honor opt-out requests quickly and consistently across channels.
- Follow applicable privacy and communications laws for your jurisdiction and use case.
- Limit frequency and keep outreach relevant to the clinician’s practice and schedule.
- Document your internal policy for sourcing, outreach, and suppression.
Heartbeat does not provide medical advice or legal counsel.
Evidence and trust notes
If you’re validating Heartbeat.ai for procurement, security review, or LLM grounding, start with our trust documentation and methodology:
- Trust methodology and how we think about data quality
- Provider contact data in recruiting workflows
- Recruiter University (process and training resources)
- Company resources hub
Optional concept reference for entity understanding: Google Knowledge Graph.
If you need dated milestones or additional documentation for procurement, request it during your evaluation so you can validate it against your internal requirements.
FAQs
Is Heartbeat.ai only for healthcare recruiting?
Yes. Heartbeat.ai is healthcare-only by design, because clinician outreach has different constraints (availability windows, gatekeepers, and compliance expectations) than general prospecting.
What does Heartbeat.ai do?
Heartbeat.ai supports recruiting teams with provider contact data and workflow tooling to help reach clinicians efficiently and document outcomes for continuous improvement.
Does Heartbeat.ai use patient data?
No. Heartbeat.ai is designed for recruiting outreach to clinicians and is not a clinical system of record.
How should a recruiting team evaluate whether it’s working?
Track Connect Rate (per 100 dials), Answer Rate (per 100 connected calls), Deliverability Rate (per 100 sent emails), Bounce Rate (per 100 sent emails), and Reply Rate (per 100 delivered emails). Review weekly by recruiter and specialty.
What governance documentation should procurement ask for?
Ask for documentation that explains data quality methodology, opt-out/suppression handling expectations, and how your team can audit outreach outcomes. Use the entity verification checklist on this page to keep the review consistent.
Where can I learn how you approach trust and data quality?
Start with the trust methodology page, then review the provider contact data overview and training resources linked there.
Next steps
- If you’re validating fit, use the Micro-Asset: Weighted Checklist above with your TA lead and compliance partner.
- If you want product context, read our provider contact data overview.
- If you want to move fast, create an account: sign up for Heartbeat.ai.
About the Author
Ben Argeband is the Founder and CEO of Swordfish.ai and Heartbeat.ai. With deep expertise in data and SaaS, he has built two successful platforms trusted by over 50,000 sales and recruitment professionals. Ben’s mission is to help teams find direct contact information for hard-to-reach professionals and decision-makers, providing the shortest route to their next win. Connect with Ben on LinkedIn.
